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For Companies At a Glance
- Tasks: Evaluate AI agents and ensure they meet complex task requirements.
- Company: Join Braintrust and help shape the future of AI ethically.
- Benefits: Flexible freelance role, remote work, and valuable experience in AI.
- Why this job: Make a real impact on how AI understands and communicates.
- Qualifications: Strong analytical skills and attention to detail required.
- Other info: Perfect for curious students seeking part-time, stimulating opportunities.
Apply to the role at Braintrust and join Mindrift's mission to ethically shape the future of AI by leveraging collective human intelligence.
Project Overview
We are seeking QA professionals to evaluate autonomous AI agents for a new project focused on validating complex task structures, policy logic, and agent evaluation frameworks. The role is flexible, project‑based, remote, and intended for individuals comfortable with ambiguity.
Who We’re Looking For
- Curious, intellectually proactive contributors who double‑check assumptions and play devil’s advocate.
- Analysts, researchers, or consultants with strong critical‑thinking skills.
- Students (senior undergraduates or graduate students) seeking an intellectually stimulating gig.
- People open to part‑time, non‑permanent opportunities.
Key Responsibilities
- Review evaluation tasks and scenarios for logic, completeness, and realism.
- Identify inconsistencies, missing assumptions, or unclear decision points.
- Define clear expected behaviors (gold standards) for AI agents.
- Annotate cause‑effect relationships, reasoning paths, and plausible alternatives.
- Assess complex systems and policies from a human perspective to ensure proper testing.
- Collaborate with QA, writers, or developers to suggest refinements or edge‑case coverage.
Qualifications
- Excellent analytical thinking: reasoning about complex systems, scenarios, and logical implications.
- Strong attention to detail: spotting contradictions, ambiguities, and vague requirements.
- Familiarity with structured data formats (read JSON/YAML).
- Good communication and clear writing in English.
Additional Experience (Optional)
- Policy evaluation, logic puzzles, case studies, or structured scenario design.
- Background in consulting, academia, olympiads (logic/math/informatics), or research.
- Exposure to LLMs, prompt engineering, or AI‑generated content.
- Familiarity with QA or test‑case thinking (edge cases, failure modes).
- Understanding of scoring/evaluation in agent testing (precision, coverage).
Benefits
- Flexible, remote, freelance project that fits around your primary commitments.
- Experience in an advanced AI project to enhance your portfolio.
- Opportunity to influence how future AI models understand and communicate.
Compensation
Hourly rates vary by country, starting at $4/hr in some regions up to $37/hr in the US. Approximate ranges are:
- USA: $30–37/hr
- UK, Ireland: $25–29/hr
- Canada, Australia, New Zealand: $21–25/hr
- Europe (excluding UK): $25–31/hr
- Rest of the world: $4–18/hr depending on region.
Position Details
- Seniority level: Internship
- Employment type: Part‑time
- Job function: Sales and Business Development
- Industries: Technology, Information and Internet
- Location: Remote
AI Agent Evaluation Analyst - AI Trainer (Freelance, Remote) employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agent Evaluation Analyst - AI Trainer (Freelance, Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who are already working on projects similar to what you're interested in. A friendly chat can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your analytical thinking and any relevant projects you've worked on. This is your chance to demonstrate how you can contribute to shaping the future of AI.
✨Tip Number 3
Be proactive in your search! Don’t just wait for job postings; reach out to companies you admire and express your interest. Sometimes, they might have opportunities that aren’t advertised yet.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the mission to ethically shape AI.
We think you need these skills to ace AI Agent Evaluation Analyst - AI Trainer (Freelance, Remote)
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical thinking in your application. We want to see how you approach complex systems and scenarios, so give us examples of your critical-thinking prowess!
Be Detail-Oriented: Attention to detail is key for this role. When writing your application, point out any experiences where you’ve spotted inconsistencies or ambiguities. It’ll show us you’re the right fit for evaluating AI agents.
Communicate Clearly: Your written communication skills matter! Use clear and concise language in your application. We appreciate good writing, so make sure your application reflects that.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and keep everything organised. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Braintrust
✨Understand the Role
Before your interview, make sure you thoroughly understand the job description. Familiarise yourself with the key responsibilities and qualifications required for the AI Agent Evaluation Analyst role. This will help you tailor your answers to demonstrate how your skills align with what they’re looking for.
✨Showcase Your Analytical Skills
Since the role requires excellent analytical thinking, prepare examples from your past experiences where you've successfully evaluated complex systems or scenarios. Be ready to discuss how you approach problem-solving and critical thinking, as this will be crucial in impressing the interviewers.
✨Prepare for Technical Questions
Brush up on your knowledge of structured data formats like JSON and YAML, as well as any relevant experience with AI or QA processes. Expect questions that assess your understanding of these concepts, so having practical examples or scenarios in mind can really set you apart.
✨Ask Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the project and the team. This shows your curiosity and engagement, which are qualities they value. Ask about their approach to evaluating AI agents or how they handle ambiguity in projects to demonstrate your proactive mindset.